rockchip orangepi5b
Geekbench ML Score
295
TensorFlow Lite CPU Inference Score
Geekbench ML 0.5.2 for Android AArch64
Result Information
| Upload Date | August 19 2024 09:48 PM |
| Views | 1 |
System Information
| System Information | |
|---|---|
| Operating System | Android 12 |
| Model | rockchip orangepi5b |
| Model ID | rockchip orangepi5b |
| Motherboard | rk30sdk |
| Governor | schedutil |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 4 part 3339 revision 0 |
| Base Frequency | 1.80 GHz |
| Cluster 1 | 4 Cores @ 1.80 GHz |
| Cluster 2 | 4 Cores @ 2.26 GHz |
| Memory Information | |
|---|---|
| Size | 15.57 GB |
| Inference Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | CPU |
| Device | |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
163
17.4 IPS |
|
|
Image Classification (F16)
|
100% |
144
15.4 IPS |
|
|
Image Classification (I8)
|
81% |
183
19.6 IPS |
|
|
Image Segmentation (F32)
|
100% |
407
2.51 IPS |
|
|
Image Segmentation (F16)
|
100% |
399
2.46 IPS |
|
|
Image Segmentation (I8)
|
89% |
672
4.15 IPS |
|
|
Pose Estimation (F32)
|
100% |
197
0.80 IPS |
|
|
Pose Estimation (F16)
|
100% |
196
0.79 IPS |
|
|
Pose Estimation (I8)
|
80% |
183
0.74 IPS |
|
|
Object Detection (F32)
|
100% |
442
15.5 IPS |
|
|
Object Detection (F16)
|
100% |
433
15.2 IPS |
|
|
Object Detection (I8)
|
52% |
341
12.0 IPS |
|
|
Face Detection (F32)
|
100% |
481
5.52 IPS |
|
|
Face Detection (F16)
|
100% |
497
5.71 IPS |
|
|
Face Detection (I8)
|
75% |
479
5.50 IPS |
|
|
Text Classification (F32)
|
100% |
187
73.8 IPS |
|
|
Text Classification (F16)
|
100% |
196
77.7 IPS |
|
|
Machine Translation (F32)
|
100% |
307
47.3 IPS |
|
|
Machine Translation (F16)
|
100% |
305
46.9 IPS |
